dsh-mandarin-grade
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-mandarin-grade
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-mandarin-grade in DeepSeek Harness to install it; source is available at https://github.com/uckkk/dsh-mandarin-grade
About this plugin
When you need to assess Mandarin proficiency on the fly—whether in a development workflow or an AI-assisted conversation—reaching for an external API or a bulky script is rarely ideal. dsh-mandarin-grade packages this capability into a lightweight plugin you can invoke directly within a conversation, removing the overhead of standing up a separate scoring service.
The plugin exposes a single tool, mandarin_grade. It accepts parameters from the caller, performs a precise calculation against Mandarin grading criteria, and returns a structured, detailed result. The entire implementation is pure Node.js with zero network calls, so it runs fully offline, responds instantly, and sidesteps any data-privacy concerns tied to third-party endpoints.
It is well suited for developers who want to fold Mandarin rating into a local toolchain, as well as for AI-assistant sessions where instant scoring and granular feedback are needed. If you value zero dependencies, instant setup, and the permissiveness of the MIT license, this plugin drops cleanly into your existing workflow with no extra configuration.
Use Cases
- Getting instant Mandarin proficiency scores within an AI conversation
- Performing precise offline Mandarin grading with zero network calls
- Embedding Mandarin rating logic into a local development pipeline
Best For
- Developers adding Mandarin rating to a local toolchain
- Users who value zero network dependency and instant responses
- Developers needing real-time scoring feedback in AI-assistant workflows
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